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Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
  • Using AI for Engineering Work17
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
    • AI Interview Questions
    • Design Scenarios with Numbers
      • Estimate a Review Assistant Budget
      • Design a Regression-Triage Agent
      • Give a Model a 300k-Token Codebase
      • Evaluate Before Adopting a Tool
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹Interview and Judgment
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Interview and Judgment
  4. Design Scenarios with Numbers

Reference: Interview and Judgment · Beginner to Intermediate

Design Scenarios with Numbers

Four worked scenarios with assumptions, arithmetic, and recommendations for judging AI use.

  • 4topics
  • 4lessons

Four scenarios train judgment with numbers. Each states its assumptions, shows its arithmetic, and ends with a recommendation.

Flow from cost estimation through agent design and context fitting to evaluation.
The four scenarios in teaching order: cost, agent design, large context, and evaluation.

Lesson

What it covers

Estimate a Review Assistant Budget

Monthly token cost of a code-review assistant from example parameters.

Design a Regression-Triage Agent

Agent scope, guardrails, time saved, and a three-step chain estimate.

Give a Model a 300k-Token Codebase

Why full pastes fail, retrieval instead, and a cost comparison.

Evaluate Before Adopting a Tool

A golden set, a rubric, a pre-set bar, and worked scoring.

Check yourself Why does every scenario here state example parameters instead of real prices?

Real prices and model limits change across vendors and over time. Stated example parameters keep the arithmetic checkable without stating facts that expire.

Interview

Carry one line per scenario: review cost scales with reviews times tokens, triage agents stay read-only until a human approves, large codebases are retrieved rather than pasted, and tools are adopted on a pre-set evaluation bar.

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See also

  • AI Interview Questions